Literature DB >> 30217132

Extending the Passive-Sensing Toolbox: Using Smart-Home Technology in Psychological Science.

Benjamin W Nelson1, Nicholas B Allen1.   

Abstract

New smart-home devices provide the opportunity to advance psychological science and theory through novel research opportunities in home environments. These technologies extend the in vivo research and intervention capabilities afforded by other assessment techniques such as Ecological Momentary Assessment methods as well as mobile and wearable devices. Smart-home devices contain a multitude of sensors capable of continuously and unobtrusively collecting multimodal data within home contexts. These devices have some complementary strengths and limitations compared with other assessment methods. This article (a) briefly reviews data collection methods in home environments, (b) discusses the unique advantages of smart-home devices, (c) describes the extant smart-home literature, (d) explores how these devices may advance evaluation and refinement of psychological theories, (e) describes examples of psychological processes that are potential targets for smart-home assessment and intervention, (f) considers methodological challenges and barriers, (g) discusses ethical considerations, and (h) concludes with a discussion of future directions for research and the merging of passive-sensing technologies with active self-report methods. This article aims to highlight the potential utility of smart-home devices within psychological research to evaluate psychological theories related to behavior within the home context.

Keywords:  behavioral observation; digital sensors; passive sensing; smart home

Mesh:

Year:  2018        PMID: 30217132     DOI: 10.1177/1745691618776008

Source DB:  PubMed          Journal:  Perspect Psychol Sci        ISSN: 1745-6916


  13 in total

Review 1.  Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research.

Authors:  Benjamin W Nelson; Carissa A Low; Nicholas Jacobson; Patricia Areán; John Torous; Nicholas B Allen
Journal:  NPJ Digit Med       Date:  2020-06-26

2.  Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?

Authors:  Nicholas B Allen; Benjamin W Nelson; David Brent; Randy P Auerbach
Journal:  J Affect Disord       Date:  2019-03-06       Impact factor: 4.839

3.  Why Digital Tools Have Not Yet Revolutionized Adolescent Health Research and What We Can Do.

Authors:  Candice L Odgers
Journal:  J Res Adolesc       Date:  2019-09

4.  Scrutinizing the effects of digital technology on mental health.

Authors:  Jonathan Haidt; Nick Allen
Journal:  Nature       Date:  2020-02       Impact factor: 49.962

5.  Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review.

Authors:  Alexandra H Bettis; Taylor A Burke; Jacqueline Nesi; Richard T Liu
Journal:  Clin Psychol Sci       Date:  2021-06-03

6.  Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error.

Authors:  Mingrui Liang; Matthew D Koslovsky; Emily T Hébert; Darla E Kendzor; Michael S Businelle; Marina Vannucci
Journal:  Psychol Methods       Date:  2021-12-20

Review 7.  Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions.

Authors:  Candice L Odgers; Michaeline R Jensen
Journal:  J Child Psychol Psychiatry       Date:  2020-01-17       Impact factor: 8.982

8.  Affective and Autonomic Reactivity During Parent-Child Interactions in Depressed and Non-Depressed Mothers and Their Adolescent Offspring.

Authors:  Benjamin W Nelson; Lisa Sheeber; Jennifer H Pfeifer; Nicholas B Allen
Journal:  Res Child Adolesc Psychopathol       Date:  2021-06-17

9.  Family-of-origin aggression, dating aggression, and physiological stress reactivity in daily life.

Authors:  Adela C Timmons; Sohyun C Han; Theodora Chaspari; Yehsong Kim; Corey Pettit; Shrikanth Narayanan; Gayla Margolin
Journal:  Physiol Behav       Date:  2019-03-19

10.  Psychobiological markers of allostatic load in depressed and nondepressed mothers and their adolescent offspring.

Authors:  Benjamin W Nelson; Lisa Sheeber; Jennifer Pfeifer; Nicholas B Allen
Journal:  J Child Psychol Psychiatry       Date:  2020-05-21       Impact factor: 8.982

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.